wbd

Dataset statistics

Number of variables	10
Number of observations	741
Missing cells	2026
Missing cells (%)	27.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	58.0 KiB
Average record size in memory	80.2 B

Variable types

Categorical	1
Numeric	9

Alerts

`ne_imp_gnfs_kn` is highly correlated with `bx_gsr_gnfs_cd` and 1 other fields	High correlation
`bx_gsr_gnfs_cd` is highly correlated with `ne_imp_gnfs_kn` and 2 other fields	High correlation
`ny_gdp_mktp_cd` is highly correlated with `ne_imp_gnfs_kn` and 2 other fields	High correlation
`sp_ado_tfrt` is highly correlated with `sp_dyn_le00_fe_in` and 1 other fields	High correlation
`sl_tlf_0714_zs` is highly correlated with `bx_gsr_gnfs_cd` and 1 other fields	High correlation
`sp_dyn_le00_fe_in` is highly correlated with `sp_ado_tfrt` and 1 other fields	High correlation
`sp_dyn_le00_ma_in` is highly correlated with `sp_ado_tfrt` and 1 other fields	High correlation
`bx_gsr_gnfs_cd` is highly correlated with `ny_gdp_mktp_cd`	High correlation
`ny_gdp_mktp_cd` is highly correlated with `bx_gsr_gnfs_cd`	High correlation
`sp_ado_tfrt` is highly correlated with `sp_dyn_le00_fe_in` and 1 other fields	High correlation
`sp_dyn_le00_fe_in` is highly correlated with `sp_ado_tfrt` and 1 other fields	High correlation
`sp_dyn_le00_ma_in` is highly correlated with `sp_ado_tfrt` and 1 other fields	High correlation
`ne_imp_gnfs_kn` is highly correlated with `ny_gdp_mktp_cd`	High correlation
`bx_gsr_gnfs_cd` is highly correlated with `ny_gdp_mktp_cd`	High correlation
`ny_gdp_mktp_cd` is highly correlated with `ne_imp_gnfs_kn` and 1 other fields	High correlation
`sp_dyn_le00_fe_in` is highly correlated with `sp_dyn_le00_ma_in`	High correlation
`sp_dyn_le00_ma_in` is highly correlated with `sp_dyn_le00_fe_in`	High correlation
`economy` is highly correlated with `si_pov_gini` and 7 other fields	High correlation
`time` is highly correlated with `sl_tlf_0714_zs`	High correlation
`si_pov_gini` is highly correlated with `economy` and 3 other fields	High correlation
`ne_imp_gnfs_kn` is highly correlated with `economy`	High correlation
`bx_gsr_gnfs_cd` is highly correlated with `economy` and 4 other fields	High correlation
`ny_gdp_mktp_cd` is highly correlated with `economy` and 1 other fields	High correlation
`sp_ado_tfrt` is highly correlated with `economy` and 4 other fields	High correlation
`sl_tlf_0714_zs` is highly correlated with `economy` and 1 other fields	High correlation
`sp_dyn_le00_fe_in` is highly correlated with `economy` and 4 other fields	High correlation
`sp_dyn_le00_ma_in` is highly correlated with `economy` and 4 other fields	High correlation
`si_pov_gini` has 613 (82.7%) missing values	Missing
`ne_imp_gnfs_kn` has 249 (33.6%) missing values	Missing
`bx_gsr_gnfs_cd` has 135 (18.2%) missing values	Missing
`ny_gdp_mktp_cd` has 43 (5.8%) missing values	Missing
`sp_ado_tfrt` has 95 (12.8%) missing values	Missing
`sl_tlf_0714_zs` has 707 (95.4%) missing values	Missing
`sp_dyn_le00_fe_in` has 92 (12.4%) missing values	Missing
`sp_dyn_le00_ma_in` has 92 (12.4%) missing values	Missing
`economy` is uniformly distributed	Uniform

Reproduction

Analysis started	2022-01-23 16:30:36.587832
Analysis finished	2022-01-23 16:30:47.482583
Duration	10.89 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

economy
Categorical

HIGH CORRELATION
UNIFORM

Distinct	39
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	5.9 KiB

ASM	19
PYF	19
MYS	19
NCL	19
NPL	19
Other values (34)	646

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ASM
2nd row	ASM
3rd row	ASM
4th row	ASM
5th row	ASM

Common Values

Value	Count	Frequency (%)
ASM	19	2.6%
PYF	19	2.6%
MYS	19	2.6%
NCL	19	2.6%
NPL	19	2.6%
PHL	19	2.6%
PLW	19	2.6%
PNG	19	2.6%
PRK	19	2.6%
SGP	19	2.6%
Other values (29)	551	74.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
asm	19	2.6%
ind	19	2.6%
brn	19	2.6%
btn	19	2.6%
chn	19	2.6%
fji	19	2.6%
fsm	19	2.6%
gum	19	2.6%
hkg	19	2.6%
mdv	19	2.6%
Other values (29)	551	74.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

time
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2009

Minimum	2000
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	2000
5-th percentile	2000
Q1	2004
median	2009
Q3	2014
95-th percentile	2018
Maximum	2018
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.480925154
Coefficient of variation (CV)	0.002728185741
Kurtosis	-1.20670747
Mean	2009
Median Absolute Deviation (MAD)	5
Skewness	0
Sum	1488669
Variance	30.04054054
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2000	39	5.3%
2010	39	5.3%
2017	39	5.3%
2016	39	5.3%
2015	39	5.3%
2014	39	5.3%
2013	39	5.3%
2012	39	5.3%
2011	39	5.3%
2009	39	5.3%
Other values (9)	351	47.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2000	39	5.3%
2001	39	5.3%
2002	39	5.3%
2003	39	5.3%
2004	39	5.3%
2005	39	5.3%
2006	39	5.3%
2007	39	5.3%
2008	39	5.3%
2009	39	5.3%

Value	Count	Frequency (%)
2018	39	5.3%
2017	39	5.3%
2016	39	5.3%
2015	39	5.3%
2014	39	5.3%
2013	39	5.3%
2012	39	5.3%
2011	39	5.3%
2010	39	5.3%
2009	39	5.3%

si_pov_gini
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	94
Distinct (%)	73.4%
Missing	613
Missing (%)	82.7%
Infinite	0
Infinite (%)	0.0%
Mean	37.7125

Minimum	27.8
Maximum	47.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	27.8
5-th percentile	31.335
Q1	35.025
median	37.75
Q3	40.325
95-th percentile	45.89
Maximum	47.7
Range	19.9
Interquartile range (IQR)	5.3

Descriptive statistics

Standard deviation	4.36527096
Coefficient of variation (CV)	0.1157513015
Kurtosis	-0.3792954981
Mean	37.7125
Median Absolute Deviation (MAD)	2.65
Skewness	0.09461920787
Sum	4827.2
Variance	19.05559055
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.7	5	0.7%
38.1	4	0.5%
35.7	3	0.4%
39.3	3	0.4%
37	3	0.4%
32.3	2	0.3%
36.4	2	0.3%
39.4	2	0.3%
37.8	2	0.3%
35.4	2	0.3%
Other values (84)	100	13.5%
(Missing)	613	82.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
27.8	1	0.1%
28.6	1	0.1%
28.7	1	0.1%
29	1	0.1%
30.7	1	0.1%
31.2	1	0.1%
31.3	1	0.1%
31.4	1	0.1%
31.6	1	0.1%
31.7	2	0.3%

Value	Count	Frequency (%)
47.7	1	0.1%
47.2	1	0.1%
46.6	1	0.1%
46.5	1	0.1%
46.4	1	0.1%
46.3	1	0.1%
46.1	1	0.1%
45.5	1	0.1%
44.8	1	0.1%
44.6	1	0.1%

ne_imp_gnfs_kn
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	491
Distinct (%)	99.8%
Missing	249
Missing (%)	33.6%
Infinite	0
Infinite (%)	0.0%
Mean	1.52152412 × 10¹⁴

Minimum	-6.2044893 × 10¹⁰
Maximum	4.696315 × 10¹⁵
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	0.1%
Memory size	5.9 KiB

Quantile statistics

Minimum	-6.2044893 × 10¹⁰
5-th percentile	198602500
Q1	3755466700
median	5.2195769 × 10¹¹
Q3	7.54778135 × 10¹²
95-th percentile	1.228832715 × 10¹⁵
Maximum	4.696315 × 10¹⁵
Range	4.696377045 × 10¹⁵
Interquartile range (IQR)	7.544025883 × 10¹²

Descriptive statistics

Standard deviation	5.227785841 × 10¹⁴
Coefficient of variation (CV)	3.43588759
Kurtosis	26.99295494
Mean	1.52152412 × 10¹⁴
Median Absolute Deviation (MAD)	5.215141894 × 10¹¹
Skewness	4.747739754
Sum	7.485898669 × 10¹⁶
Variance	2.73297448 × 10²⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
668000000	2	0.3%
8.1457086 × 10¹¹	1	0.1%
4.5774573 × 10¹¹	1	0.1%
4.4423224 × 10¹¹	1	0.1%
4.6606424 × 10¹¹	1	0.1%
3.6338083 × 10¹¹	1	0.1%
3.2262498 × 10¹¹	1	0.1%
2.9819706 × 10¹¹	1	0.1%
2.896644 × 10¹¹	1	0.1%
2.7209448 × 10¹¹	1	0.1%
Other values (481)	481	64.9%
(Missing)	249	33.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-6.2044893 × 10¹⁰	1	0.1%
107203000	1	0.1%
116731000	1	0.1%
120451000	1	0.1%
120609000	1	0.1%
133620496	1	0.1%
135786000	1	0.1%
139464700	1	0.1%
141670700	1	0.1%
145196610	1	0.1%

Value	Count	Frequency (%)
4.696315 × 10¹⁵	1	0.1%
4.163134 × 10¹⁵	1	0.1%
3.543103 × 10¹⁵	1	0.1%
3.073334 × 10¹⁵	1	0.1%
2.6019672 × 10¹⁵	1	0.1%
2.3066133 × 10¹⁵	1	0.1%
2.2032699 × 10¹⁵	1	0.1%
1.9871139 × 10¹⁵	1	0.1%
1.9656771 × 10¹⁵	1	0.1%
1.9648192 × 10¹⁵	1	0.1%

bx_gsr_gnfs_cd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	606
Distinct (%)	100.0%
Missing	135
Missing (%)	18.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.218970969 × 10¹¹

Minimum	1274564.4
Maximum	2.6510096 × 10¹²
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	1274564.4
5-th percentile	27674469.5
Q1	545300782.5
median	4912909350
Q3	8.168208125 × 10¹⁰
95-th percentile	6.00048105 × 10¹¹
Maximum	2.6510096 × 10¹²
Range	2.651008325 × 10¹²
Interquartile range (IQR)	8.113678047 × 10¹⁰

Descriptive statistics

Standard deviation	3.228903774 × 10¹¹
Coefficient of variation (CV)	2.648876681
Kurtosis	29.80134759
Mean	1.218970969 × 10¹¹
Median Absolute Deviation (MAD)	4843201055
Skewness	5.008029469
Sum	7.386964072 × 10¹³
Variance	1.042581958 × 10²³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.664591 × 10¹⁰	1	0.1%
82706510	1	0.1%
80161130	1	0.1%
87692410	1	0.1%
99572360	1	0.1%
92533240	1	0.1%
95664136	1	0.1%
114735560	1	0.1%
131632016	1	0.1%
139228210	1	0.1%
Other values (596)	596	80.4%
(Missing)	135	18.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1274564.4	1	0.1%
1635078.9	1	0.1%
2015177.8	1	0.1%
2627019	1	0.1%
2715979	1	0.1%
3015215.2	1	0.1%
3266386.2	1	0.1%
4060750.8	1	0.1%
5513224.5	1	0.1%
5715816.5	1	0.1%

Value	Count	Frequency (%)
2.6510096 × 10¹²	1	0.1%
2.462902 × 10¹²	1	0.1%
2.4292774 × 10¹²	1	0.1%
2.3601524 × 10¹²	1	0.1%
2.3555948 × 10¹²	1	0.1%
2.1979225 × 10¹²	1	0.1%
2.175092 × 10¹²	1	0.1%
2.0088525 × 10¹²	1	0.1%
1.6564117 × 10¹²	1	0.1%
1.4978688 × 10¹²	1	0.1%

ny_gdp_mktp_cd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	698
Distinct (%)	100.0%
Missing	43
Missing (%)	5.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.494643272 × 10¹¹

Minimum	13196545
Maximum	1.3894818 × 10¹³
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	13196545
5-th percentile	141444830
Q1	676880960
median	7160627700
Q3	1.41535435 × 10¹¹
95-th percentile	1.48668721 × 10¹²
Maximum	1.3894818 × 10¹³
Range	1.38948048 × 10¹³
Interquartile range (IQR)	1.40858554 × 10¹¹

Descriptive statistics

Standard deviation	1.332833329 × 10¹²
Coefficient of variation (CV)	3.813932426
Kurtosis	49.50097942
Mean	3.494643272 × 10¹¹
Median Absolute Deviation (MAD)	6976300350
Skewness	6.62556601
Sum	2.439261004 × 10¹⁴
Variance	1.776444684 × 10²⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.3111525 × 10¹⁰	1	0.1%
1.6002656 × 10¹⁰	1	0.1%
2.162171 × 10¹⁰	1	0.1%
2.1703107 × 10¹⁰	1	0.1%
2.2162209 × 10¹⁰	1	0.1%
2.2731604 × 10¹⁰	1	0.1%
2.4360796 × 10¹⁰	1	0.1%
2.4524098 × 10¹⁰	1	0.1%
2.897159 × 10¹⁰	1	0.1%
8.36697 × 10¹⁰	1	0.1%
Other values (688)	688	92.8%
(Missing)	43	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13196545	1	0.1%
13742057	1	0.1%
15450994	1	0.1%
18231078	1	0.1%
21534932	1	0.1%
21839098	1	0.1%
22902862	1	0.1%
27030374	1	0.1%
27101076	1	0.1%
30290220	1	0.1%

Value	Count	Frequency (%)
1.3894818 × 10¹³	1	0.1%
1.2310409 × 10¹³	1	0.1%
1.1233276 × 10¹³	1	0.1%
1.1061553 × 10¹³	1	0.1%
1.0475683 × 10¹³	1	0.1%
9.570407 × 10¹²	1	0.1%
8.53223 × 10¹²	1	0.1%
7.899426 × 10¹²	1	0.1%
7.5515 × 10¹²	1	0.1%
6.5724985 × 10¹²	1	0.1%

sp_ado_tfrt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	640
Distinct (%)	99.1%
Missing	95
Missing (%)	12.8%
Infinite	0
Infinite (%)	0.0%
Mean	35.11513591

Minimum	0.283
Maximum	112.9564
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	0.283
5-th percentile	2.08495
Q1	15.2069
median	31.5562
Q3	51.27735
95-th percentile	78.579
Maximum	112.9564
Range	112.6734
Interquartile range (IQR)	36.07045

Descriptive statistics

Standard deviation	24.68762142
Coefficient of variation (CV)	0.7030478674
Kurtosis	-0.1061679714
Mean	35.11513591
Median Absolute Deviation (MAD)	18.2223
Skewness	0.6087423792
Sum	22684.3778
Variance	609.4786513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.003	6	0.8%
24.759	2	0.3%
56.7396	1	0.1%
54.298	1	0.1%
54.44	1	0.1%
54.582	1	0.1%
55.1214	1	0.1%
55.6608	1	0.1%
56.2002	1	0.1%
57.279	1	0.1%
Other values (630)	630	85.0%
(Missing)	95	12.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.283	1	0.1%
0.286	1	0.1%
0.2882	1	0.1%
0.2934	1	0.1%
0.2986	1	0.1%
0.3038	1	0.1%
0.309	1	0.1%
0.372	1	0.1%
0.435	1	0.1%
0.498	1	0.1%

Value	Count	Frequency (%)
112.9564	1	0.1%
112.2538	1	0.1%
109.1354	1	0.1%
108.9132	1	0.1%
106.017	1	0.1%
104.87	1	0.1%
103.6338	1	0.1%
101.6756	1	0.1%
101.2506	1	0.1%
98.8674	1	0.1%

sl_tlf_0714_zs
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	97.1%
Missing	707
Missing (%)	95.4%
Infinite	0
Infinite (%)	0.0%
Mean	16.3464455

Minimum	1.7
Maximum	52.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	1.7
5-th percentile	3.28
Q1	8.683533
median	13.128205
Q3	18.334626
95-th percentile	44.9528685
Maximum	52.3
Range	50.6
Interquartile range (IQR)	9.651093

Descriptive statistics

Standard deviation	12.93549114
Coefficient of variation (CV)	0.7913335739
Kurtosis	1.813258502
Mean	16.3464455
Median Absolute Deviation (MAD)	5
Skewness	1.547009099
Sum	555.779147
Variance	167.326931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
15.1	2	0.3%
42.82749	1	0.1%
22.02146	1	0.1%
12.4	1	0.1%
10.1	1	0.1%
16	1	0.1%
14.699067	1	0.1%
40.6	1	0.1%
13.25641	1	0.1%
17.538504	1	0.1%
Other values (23)	23	3.1%
(Missing)	707	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.7	1	0.1%
2.5	1	0.1%
3.7	1	0.1%
4.2	1	0.1%
5.002084	1	0.1%
5.2	1	0.1%
6.6	1	0.1%
7.6	1	0.1%
8.6	1	0.1%
8.934132	1	0.1%

Value	Count	Frequency (%)
52.3	1	0.1%
48.9	1	0.1%
42.82749	1	0.1%
40.6	1	0.1%
34.5	1	0.1%
22.02146	1	0.1%
21.3	1	0.1%
19.9	1	0.1%
18.6	1	0.1%
17.538504	1	0.1%

sp_dyn_le00_fe_in
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	616
Distinct (%)	94.9%
Missing	92
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	73.49832203

Minimum	60.608
Maximum	87.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	60.608
5-th percentile	63.727
Q1	68.807
median	72.816
Q3	78.301
95-th percentile	84.92
Maximum	87.7
Range	27.092
Interquartile range (IQR)	9.494

Descriptive statistics

Standard deviation	6.242847333
Coefficient of variation (CV)	0.08493863752
Kurtosis	-0.6263126263
Mean	73.49832203
Median Absolute Deviation (MAD)	4.627
Skewness	0.225662617
Sum	47700.411
Variance	38.97314283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80.2	4	0.5%
85.4	3	0.4%
85.5	3	0.4%
80.1	3	0.4%
84.6	3	0.4%
69.043	2	0.3%
86.7	2	0.3%
84.8	2	0.3%
84.5	2	0.3%
68.609	2	0.3%
Other values (606)	623	84.1%
(Missing)	92	12.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
60.608	1	0.1%
60.615	1	0.1%
60.624	1	0.1%
60.715	1	0.1%
60.91	1	0.1%
61.116	1	0.1%
61.124	1	0.1%
61.195	1	0.1%
61.362	1	0.1%
61.525	1	0.1%

Value	Count	Frequency (%)
87.7	1	0.1%
87.6	1	0.1%
87.3	2	0.3%
87.051	1	0.1%
86.92	1	0.1%
86.9	1	0.1%
86.781	1	0.1%
86.7	2	0.3%
86.631	1	0.1%
86.461	1	0.1%

sp_dyn_le00_ma_in
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	614
Distinct (%)	94.6%
Missing	92
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	68.85560247

Minimum	56.186
Maximum	82.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.9 KiB

Quantile statistics

Minimum	56.186
5-th percentile	60.0948
Q1	65.002
median	68.361
Q3	72.9
95-th percentile	79.36
Maximum	82.3
Range	26.114
Interquartile range (IQR)	7.898

Descriptive statistics

Standard deviation	5.636979806
Coefficient of variation (CV)	0.08186668338
Kurtosis	-0.5074160376
Mean	68.85560247
Median Absolute Deviation (MAD)	3.873
Skewness	0.2152042343
Sum	44687.286
Variance	31.77554134
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74.2	3	0.4%
72.1	3	0.4%
79.4	3	0.4%
78.5	2	0.3%
80.3	2	0.3%
80.1	2	0.3%
79.8	2	0.3%
73.9	2	0.3%
79	2	0.3%
78.4	2	0.3%
Other values (604)	626	84.5%
(Missing)	92	12.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
56.186	1	0.1%
57.001	1	0.1%
57.044	1	0.1%
57.078	1	0.1%
57.362	1	0.1%
57.46	1	0.1%
57.557	1	0.1%
57.656	1	0.1%
57.923	1	0.1%
57.926	1	0.1%

Value	Count	Frequency (%)
82.3	1	0.1%
81.9	1	0.1%
81.4	1	0.1%
81.3	1	0.1%
81.2	2	0.3%
81.149	1	0.1%
81.1	1	0.1%
81.013	1	0.1%
80.9	1	0.1%
80.871	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	economy	time	si_pov_gini	ne_imp_gnfs_kn	bx_gsr_gnfs_cd	ny_gdp_mktp_cd	sp_ado_tfrt	sl_tlf_0714_zs	sp_dyn_le00_fe_in	sp_dyn_le00_ma_in
0	ASM	2000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	ASM	2001	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	ASM	2002	NaN	1.053000e+09	NaN	512000000.0	NaN	NaN	NaN	NaN
3	ASM	2003	NaN	1.046000e+09	NaN	524000000.0	NaN	NaN	NaN	NaN
4	ASM	2004	NaN	9.110000e+08	NaN	509000000.0	NaN	NaN	NaN	NaN
5	ASM	2005	NaN	9.120000e+08	NaN	500000000.0	NaN	NaN	NaN	NaN
6	ASM	2006	NaN	8.780000e+08	NaN	493000000.0	NaN	NaN	NaN	NaN
7	ASM	2007	NaN	8.450000e+08	NaN	518000000.0	NaN	NaN	NaN	NaN
8	ASM	2008	NaN	8.630000e+08	NaN	560000000.0	NaN	NaN	NaN	NaN
9	ASM	2009	NaN	7.510000e+08	NaN	675000000.0	NaN	NaN	NaN	NaN

Last rows

	economy	time	si_pov_gini	ne_imp_gnfs_kn	bx_gsr_gnfs_cd	ny_gdp_mktp_cd	sp_ado_tfrt	sl_tlf_0714_zs	sp_dyn_le00_fe_in	sp_dyn_le00_ma_in
731	WSM	2009	NaN	NaN	173604990.0	584706050.0	30.3048	NaN	73.819	69.231
732	WSM	2010	NaN	NaN	204231280.0	663155970.0	29.6202	NaN	74.030	69.510
733	WSM	2011	NaN	NaN	208397680.0	737147970.0	28.9356	NaN	74.233	69.782
734	WSM	2012	NaN	NaN	222169070.0	760319300.0	28.2510	NaN	74.424	70.043
735	WSM	2013	38.7	NaN	230141460.0	770059500.0	27.3780	NaN	74.600	70.286
736	WSM	2014	NaN	NaN	225924770.0	756805950.0	26.5050	NaN	74.762	70.511
737	WSM	2015	NaN	NaN	231414420.0	787958600.0	25.6320	NaN	74.911	70.715
738	WSM	2016	NaN	NaN	248249700.0	799493900.0	24.7590	NaN	75.052	70.895
739	WSM	2017	NaN	NaN	278392000.0	832025600.0	23.8860	NaN	75.189	71.055
740	WSM	2018	NaN	NaN	301045380.0	821286900.0	23.2952	NaN	75.325	71.197

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows